[PDF][PDF] A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data.

World Congress on Engineering, 2007 - researchgate.net
Text categorization is one of the well studied problems in data mining and information
retrieval. Given a large quantity of documents in a data set where each document is …

[PDF][PDF] A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data

F Thabtah, H Abdel-jaber - Proceedings of the World Congress on …, 2007 - researchgate.net
Text categorization is one of the well studied problems in data mining and information
retrieval. Given a large quantity of documents in a data set where each document is …

[PDF][PDF] A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data

F Thabtah, H Abdel-jaber - Proceedings of the World Congress on …, 2007 - Citeseer
Text categorization is one of the well studied problems in data mining and information
retrieval. Given a large quantity of documents in a data set where each document is …

[PDF][PDF] A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data

F Thabtah, H Abdel-jaber - Proceedings of the World Congress on …, 2007 - iaeng.org
Text categorization is one of the well studied problems in data mining and information
retrieval. Given a large quantity of documents in a data set where each document is …

[PDF][PDF] A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data

F Thabtah, H Abdel-jaber - Proceedings of the World Congress on …, 2007 - academia.edu
Text categorization is one of the well studied problems in data mining and information
retrieval. Given a large quantity of documents in a data set where each document is …

[PDF][PDF] A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data

F Thabtah, H Abdel-jaber - Proceedings of the World Congress on …, 2007 - iaeng.org
Text categorization is one of the well studied problems in data mining and information
retrieval. Given a large quantity of documents in a data set where each document is …